IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/6696.html
   My bibliography  Save this paper

Research, Innovation, and Productivity: An Econometric Analysis at the Firm Level

Author

Listed:
  • Bruno Crepon
  • Emmanuel Duguet
  • Jacques Mairesse

Abstract

This paper studies the links between productivity, innovation and research at th level. We introduce three new features: (i) A structural model that explains pro by innovation output, and innovation output by research investment; (ii) New dat manufacturing firms, including the number of European patents and the percentage sales, as well as firm-level demand pull and technology push indicators; (iii) E which correct for selectivity and simultaneity biases and take into account the features of the available data: only a small proportion of firms engage in resea apply for patents; productivity, innovation and research are endogenously determ investment and capital are truncated variables, patents are count data and innov We find that using the more widespread methods, and the more usual data and mode may lead to sensibly different estimates. We find in particular that simultaneit with selectivity, and that both sources of biases must be taken into account tog results are consistent with many of the stylized facts of the empirical literatu of engaging in research (R&D) for a firm increases with its size (number of empl share and diversification, and with the demand pull and technology push indicato capital intensity) of a firm engaged in research increases with the same variabl research capital being strictly proportional to size). The firm innovation outpu patent numbers or innovative sales, rises with its research effort and with the indicators, either directly or indirectly through their effects on research. Fin correlates positively with an higher innovation output, even when controlling fo the skill composition of labor as well as for physical capital intensity.

Suggested Citation

  • Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation, and Productivity: An Econometric Analysis at the Firm Level," NBER Working Papers 6696, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:6696
    Note: PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w6696.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    3. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    4. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
    5. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    6. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    7. Pakes, Ariel & Griliches, Zvi, 1980. "Patents and R&D at the firm level: A first report," Economics Letters, Elsevier, vol. 5(4), pages 377-381.
    8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    9. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    10. Crepon, B. & Duguet, E. & Kabla, I., 1995. "A Moderate Support to Schumpeterian Conjectures from Various Innovation Measures," Papiers d'Economie Mathématique et Applications 95.06, Université Panthéon-Sorbonne (Paris 1).
    11. Jacques Mairesse & Philippe Cunéo, 1985. "Recherche-développement et performances des entreprises : une étude économétrique sur données individuelles," Revue Économique, Programme National Persée, vol. 36(5), pages 1001-1042.
    12. Ariel Pakes & Zvi Griliches, 1984. "Patents and R&D at the Firm Level: A First Look," NBER Chapters, in: R&D, Patents, and Productivity, pages 55-72, National Bureau of Economic Research, Inc.
    13. R. Schmalensee & R. Willig (ed.), 1989. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 2, number 2.
    14. Bruno Crepon & Emmanuel Duguet & Isabelle Kabla, 1996. "Schumpeterian Conjectures: A Moderate Support from Various Innovation Measures," Palgrave Macmillan Books, in: Alfred Kleinknecht (ed.), Determinants of Innovation, chapter 3, pages 63-98, Palgrave Macmillan.
    15. R. Schmalensee & R. Willig (ed.), 1989. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 1, number 1.
    16. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    17. repec:crs:wpaper:9730 is not listed on IDEAS
    18. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-263, May-June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Almas Heshmati & Hyesung Kim, 2011. "The R&D and productivity relationship of Korean listed firms," Journal of Productivity Analysis, Springer, vol. 36(2), pages 125-142, October.
    2. Hans Loof & Almas Heshmati, 2006. "On the relationship between innovation and performance: A sensitivity analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 317-344.
    3. Choi, Mincheol & Lee, Chang-Yang, 2021. "Technological diversification and R&D productivity: The moderating effects of knowledge spillovers and core-technology competence," Technovation, Elsevier, vol. 104(C).
    4. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2018. "Internationalisation, innovation and productivity in services: evidence from Germany, Ireland and the United Kingdom," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(3), pages 585-615, August.
    5. Bronwyn Hall & Francesca Lotti & Jacques Mairesse, 2009. "Innovation and productivity in SMEs: empirical evidence for Italy," Small Business Economics, Springer, vol. 33(1), pages 13-33, June.
    6. Bronwyn H. Hall & Zvi Griliches & Jerry A. Hausman, 1983. "Patents and R&D: Searching for a Lag Structure," NBER Working Papers 1227, National Bureau of Economic Research, Inc.
    7. Giuseppe Medda & Claudio Piga, 2014. "Technological spillovers and productivity in Italian manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 419-434, June.
    8. Hans Lööf & Almas Heshmati, 2003. "The link between firm-level innovation and aggregate productivity growth: a cross-country examination," Research Evaluation, Oxford University Press, vol. 12(2), pages 131-147, August.
    9. de Rassenfosse, Gaétan & Schoen, Anja & Wastyn, Annelies, 2014. "Selection bias in innovation studies: A simple test," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 287-299.
    10. Mancusi, Maria Luisa, 2004. "International spillovers and absorptive capacity: a cross-country, cross-sector analysis based on European patents and citations," LSE Research Online Documents on Economics 6737, London School of Economics and Political Science, LSE Library.
    11. Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 2000. "Mesurer le rendement de l'innovation," Économie et Statistique, Programme National Persée, vol. 334(1), pages 65-78.
    12. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    13. E. Cefis & M. Ghita, 2008. "Post Merger Innovative Patterns in Small and Medium Firms," Working Papers 08-09, Utrecht School of Economics.
    14. Montresor, Sandro & Vezzani, Antonio, 2015. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," Research Policy, Elsevier, vol. 44(2), pages 381-393.
    15. Chadha, Alka, 2009. "TRIPs and patenting activity: Evidence from the Indian pharmaceutical industry," Economic Modelling, Elsevier, vol. 26(2), pages 499-505, March.
    16. Roberta Piergiovanni & Enrico Santarelli, 2013. "The more you spend, the more you get? The effects of R&D and capital expenditures on the patenting activities of biotechnology firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 497-521, February.
    17. Gurneeta Vasudeva & Jennifer W. Spencer & Hildy J. Teegen, 2013. "Bringing the Institutional Context Back In: A Cross-National Comparison of Alliance Partner Selection and Knowledge Acquisition," Organization Science, INFORMS, vol. 24(2), pages 319-338, April.
    18. Li, Xibao, 2011. "Sources of External Technology, Absorptive Capacity, and Innovation Capability in Chinese State-Owned High-Tech Enterprises," World Development, Elsevier, vol. 39(7), pages 1240-1248, July.
    19. Peters, Bettina & Lööf, Hans & Janz, Norbert, 2003. "Firm Level Innovation and Productivity: Is there a Common Story Across Countries?," ZEW Discussion Papers 03-26, ZEW - Leibniz Centre for European Economic Research.
    20. Walter Park & Ralph Sonenshine, 2012. "Impact of Horizontal Mergers on Research & Development and Patenting: Evidence from Merger Challenges in the U.S," Journal of Industry, Competition and Trade, Springer, vol. 12(1), pages 143-167, March.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:6696. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.